Ubuntu上以virtualenv方式安装TensorFlow

本文介绍了如何在Ubuntu上以virtualenv方式安装tensorflow。安装pip和virtualenv：# Ubuntu/Linux 64-bitsudo apt-get install python-pip python-dev python-virtualenv# Mac OS Xsudo easy_install pipsudo pip install --upgrade virtualenv创建 Virtualenv 虚拟环境：进入你想安装tensorflow的父目录下，然后执行下面命令建立虚拟环境：virtualenv --system-site-packages tensorflow激活虚拟环境并安装tensorflow：对于python27，则执行如下命令：source ./tensorflow/bin/activate # If using bashsource ./tensorflow/bin/activate.csh # If using csh（tensorflow）$ # Your prompt should change# Ubuntu/Linux 64-bit, CPU only:pip install --upgrade https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.6.0-cp27-none-linux_x86_64.whl# Ubuntu/Linux 64-bit, GPU enabled:pip install --upgrade https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow-0.6.0-cp27-none-linux_x86_64.whl# Mac OS X, CPU only:pip install --upgrade https://storage.googleapis.com/tensorflow/mac/tensorflow-0.6.0-py2-none-any.whl 对于python3则执行如下命令：source ./tensorflow/bin/activate # If using bashsource ./tensorflow/bin/activate.csh # If using csh（tensorflow）$ # Your prompt should change# Ubuntu/Linux 64-bit, CPU only:pip install --upgrade https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.6.0-cp34-none-linux_x86_64.whl# Ubuntu/Linux 64-bit, GPU enabled:pip install --upgrade https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow-0.6.0-cp34-none-linux_x86_64.whl# Mac OS X, CPU only:pip3 install --upgrade https://storage.googleapis.com/tensorflow/mac/tensorflow-0.6.0-py3-none-any.whl测试安装：在终端执行如下命令进入python shell环境：python 在python shell环境中测试：>>> import tensorflow as tf>>> hello = tf.constant（"Hello, TensorFlow！"）>>> sess = tf.Session（）>>> print（sess.run（hello））Hello, TensorFlow！>>> a = tf.constant（10）>>> b = tf.constant（32）>>> print（sess.run（a + b））42>>>• 如果遇到如下错误：12 _mod = imp.load_module（"_pywrap_tensorflow", fp, pathname, description）ImportError: libcudart.so.7.0: cannot open shared object file: No such file or directory 那是你的CUDA安装配置不对：安装CUDA和CUDNN可以参考这篇文章。且添加如下两行到你的 ~/.bashrc 文件export LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/usr/local/cuda/lib64"export CUDA_HOME=/usr/local/cuda• 如果遇到如下错误：Python 2.7.9 （default, Apr 2 2015, 15:33:21）[GCC 4.9.2] on linux2Type "help", "copyright", "credits" or "license" for more information.>>> import tensorflowI tensorflow/stream_executor/dso_loader.cc:93] Couldn"t open CUDA library libcublas.so.7.0. LD_LIBRARY_PATH: :/usr/local/cuda/lib64I tensorflow/stream_executor/cuda/cuda_blas.cc:2188] Unable to load cuBLAS DSO.I tensorflow/stream_executor/dso_loader.cc:93] Couldn"t open CUDA library libcudnn.so.6.5. LD_LIBRARY_PATH: :/usr/local/cuda/lib64I tensorflow/stream_executor/cuda/cuda_dnn.cc:1382] Unable to load cuDNN DSOI tensorflow/stream_executor/dso_loader.cc:93] Couldn"t open CUDA library libcufft.so.7.0. LD_LIBRARY_PATH: :/usr/local/cuda/lib64I tensorflow/stream_executor/cuda/cuda_fft.cc:343] Unable to load cuFFT DSO.I tensorflow/stream_executor/dso_loader.cc:101] successfully opened CUDA library libcuda.so locallyI tensorflow/stream_executor/dso_loader.cc:93] Couldn"t open CUDA library libcurand.so.7.0. LD_LIBRARY_PATH: :/usr/local/cuda/lib64I tensorflow/stream_executor/cuda/cuda_rng.cc:333] Unable to load cuRAND DSO. 由安装报错可知，它使用的是7.0版本，故找不到，而如果你安装的是7.5版本，则可以执行如下命令添加相应链接：sudo ln -s /usr/local/cuda/lib64/libcudart.so.7.5 /usr/local/cuda/lib64/libcudart.so.7.0sudo ln -s libcublas.so.7.5 libcublas.so.7.0sudo ln -s libcudnn.so.4.0.4 libcudnn.so.6.5sudo ln -s libcufft.so libcufft.so.7.0<br>sudo ln -s libcurand.so libcurand.so.7.0Ubuntu 15.04下TensorFlow源代码方式安装 http://www.linuxidc.com/Linux/2016-07/133223.htm如何评价Tensorflow和其它深度学习系统 http://www.linuxidc.com/Linux/2016-07/133221.htm更多Ubuntu相关信息见Ubuntu 专题页面 http://www.linuxidc.com/topicnews.aspx？tid=2本文永久更新链接地址